Rethinking Media Literacy 2025
Page 23 of 45 · WEF_Rethinking_Media_Literacy_2025.pdf
This type of framework originated during the 1970s
in developmental psychology in the work of Urie
Bronfenbrenner, who created a model to organize
the range of factors that affect an individual child’s
development. For example, children might vary in
their genetics, talents and experiences, which, in
turn, are influenced by their immediate environment
(such as their families, peers and schooling), which
is influenced by mass media, social services and
local politics and which are ultimately influenced by
the wider culture.
This nested organization acknowledges how the
relationships between factors can act to amplify
or dampen overall impact. An individual child may
have an affinity for mathematics, but if they live
in a family or go to a school where that is neither
valued nor supported, this affinity may never grow
into skill. However, if that same child lives in a
culture with television shows that demonstrate
the importance of mathematics and treat it as an
impressive and desirable skill, or has a relative who
plays a similar role, they may indeed find ways to
develop in spite of other constraints. The range of
factors that affect child development are manifold,
but by using a socio-ecological lens it is possible
to better organize these relationships and identify
where intervention might be fruitful. The same
is true for digital safety and the fight to embed,
maintain and enhance information integrity. SEMs have since been used in many different
contexts to understand and organize influencing
factors in complex, interconnected problem
areas. In public health, SEMs have helped map
intervention landscapes, such as the roles that social
and economic conditions, community advocacy,
corporate policies, education and individual choice
all play in the adoption of healthy behaviours. SEMs
have also been used in risk communication to assess
the relationships between culture, education and
timing in how an individual might best receive the
information necessary to make impactful decisions
through different channels.
Applying this lens to the landscape of counter-
disinformation efforts helps establish where current
investment is concentrated and where gaps in
activity or attention persist. The addition of a
timeline axis (the disinformation life cycle) helps
illustrate how dynamics evolve throughout the
process of creation and consumption.
This model helps configure the existing landscape,
both for MIL interventions and other whole-of-
society approaches to combat disinformation.
The levels of the SEM are individual, interpersonal,
community, institutional and policy.A socio-ecological model
The strength of these models lies in their
ability to highlight relationships between
influencing factors and how they might work
with or against each other. 5
SEMs often begin with the individual as the
central focus, emphasizing the range of factors
that shape their behaviours, preferences and
development. These factors can include inherent
abilities, personal affinities, psychological traits
and learned skills. In the context of MIL, such
considerations play a critical role in shaping how a
person interacts with information. This includes the
ability to identify and understand and interrogate
their own biases and those present in external
media, which requires critical thinking skills and
awareness of different perspectives. Emotional literacy also forms a significant
component, as individuals must navigate how
emotions influence their reactions to information,
especially when encountering disinformation
designed to provoke strong responses. Additionally,
platform usage is a key individual concern, as
the decision to share or withhold content on
digital platforms contributes to the broader
dissemination of information. By focusing on these
individual elements, it is possible to better design
interventions that empower people with the skills
necessary to critically engage with media and resist
the pull of disinformation.5.1 Individual
Rethinking Media Literacy: A New Ecosystem Model for Information Integrity
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